FiLMamba: A FiLM-Conditioned Mamba Architecture with an Energy-Efficient FPGA Accelerator for Generalizable Cuffless Blood Pressure Estimation

Fan He, Jinhong Wu, Wenxian Li, Yan Li, Xiaoyang Zeng

Summary

Addresses PPG morphology–BP ambiguity (similar waveforms → different pressures across subjects → mean regression) with a selective state-space (Mamba) model conditioned via Feature-wise Linear Modulation (FiLM) on a 4-D hemodynamic state vector, plus Cross-Domain Hemodynamic Alignment (CDHA) (unlabeled BN recalibration + per-calibration-unit bias correction). Evaluated on MIMIC-BP (1,524 patients): SBP/DBP SDE 6.45 / 4.96 mmHg, >2.5× better than unconditioned baselines; claims AAMI compliance. Training-free transfer to UCI-BP: 4.29 / 3.24 mmHg SDE — abstract claims first AAMI-compliant training-free cross-dataset cuffless BP result.

Reported benchmarks